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分类均值—加权中值混合滤波器
引用本文:蔡靖,杨晋生.分类均值—加权中值混合滤波器[J].天津大学学报(自然科学与工程技术版),1999,32(5):551-554.
作者姓名:蔡靖  杨晋生
作者单位:天津大学电子信息工程学院
基金项目:国家自然科学基金!69772041,高校博士点基金!98005610
摘    要:研究了受混合噪声污染图像的降噪滤波问题,并提出了一种基于均值滤波和加权中值滤波的混合滤波方法,该方法将输入样本集按照某种分类方法分成若干子集,在各自子集内进行求均值,然后根据不同子集的样本个数进行加权中值滤波。经分析和计算机模拟表明,此种方法能较好地消除高斯和脉冲混合噪声的影响,并且计算简单。

关 键 词:中值滤波  均值滤波  滤波器  噪声  CAWM

CLASSIFIED AVERAGE-WEIGHTED MEDIAN HYBRID FILTER
Cai Jing, Yang Jinsheng, Ding Runtao.CLASSIFIED AVERAGE-WEIGHTED MEDIAN HYBRID FILTER[J].Journal of Tianjin University(Science and Technology),1999,32(5):551-554.
Authors:Cai Jing  Yang Jinsheng  Ding Runtao
Abstract:This paper studies the problem of noise suppression of images corrupted by different kinds of noise. A hybrid filter based on the average filter and the weighted median filter is presented. The algorithm first divides the input sample set into several subsets by some classification,and then calculates the average in every class,and lastly filters the outputs by the weighted median filter in which the weights are the number of the samples in every subset. Computer simulations show that the influence of both Gaussian noise and impulse noise can be attenuated by the filter efficiently,and the calculation is simple.
Keywords:median filter average filter Gaussian noise impulse noise  
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